Correlation Analysis: Karl Pearson, Spearman Rank Correlation Complete Guide

These notes cover detailed exploration of correlation analysis including positive/negative, simple/multiple/partial, and linear/non-linear correlations. Covers scatter diagram interpretation, Karl Pearson’s coefficient calculation methods, and Spearman’s rank correlation techniques. Includes probable error analysis, correlation significance testing, and practical business applications with comprehensive mathematical illustrations and real-world examples.

Regression Analysis: Simple Linear Regression, Least-squares Method Complete Guide

Comprehensive guide to regression analysis covering simple linear regression models using least-squares criterion. Explains dependent and independent variables, regression coefficients, slope interpretation, and point estimates. Covers both regression equations (Y on X, X on Y), their properties, intersection points, and coefficient relationships with detailed mathematical illustrations and business applications.

Measures of Central Tendency: Mean, Median, Mode

This document covers detailed exploration of central tendency measures including arithmetic, geometric, and harmonic means with calculation methods and real-world applications. Covers median determination, quartiles, deciles, percentiles, and mode identification. Provides comprehensive comparison of when to use each measure, their merits and limitations, with practical illustrations for business decision-making scenarios.